2 papers
cs.LG2025
Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
Brian Godwin Lim, Galvin Brice Lim, Renzo Roel Tan +2
Graph neural networks (GNNs) have become an indispensable tool for analyzing relational data. Classical GNNs are broadly classified into three variants: convolutional, attentional,…
cs.LG2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
Hezhe Qiao, Hanghang Tong, Bo An +3
Graph anomaly detection (GAD), which aims to identify unusual graph instances (nodes, edges, subgraphs, or graphs), has attracted increasing attention in recent years due to its si…